Health Data Collection & Classification ll
Important Notice
This course is not active. Please contact Department Chair for more information.
Overview
- Patient service classification
- definitions
- For a given disease/disorder within a major clinical category:
- define the terminology and abbreviations
- describe:
- predisposing and risk factors (demographic)
- etiology
- signs and symptoms
- method of diagnosis
- common comorbidities (including post-intervention conditions)
- typical and alternative interventions (diagnostic, medical including pharmaceutical agents surgical)
- likely mode of encounter with the health care delivery system
- classify to ICD-10-CA and CCI
- complete the discharge abstract (manual or computerized) including assignment of patient service and diagnoses types
- Major Clinical Categories included in this course:
- diseases and disorders of the skin, subcutaneous tissue & breast
- neoplasia including lymphomas and leukemia
- diseases and disorders of the musculoskeletal system and connective tissues
- diseases and disorders of the circulatory system including cardiac and vascular systems
- diseases and disorders of blood and blood forming organs and immunological disorders
- diseases and disorders of the respiratory system
- diseases and disorders of the digestive system
- diseases and disorders of the hepatobiliary system and pancreas
- multisystemic or unspecified site infections
- HIV infections
- diseases and disorders of the eye
- diseases and disorders of the ear, nose, mouth and throat
- Lecture/Practice
- Group discussion
- Application exercises/case studies/health records
- Technology (software, audiovisual, Internet, etc.)
- Guest lecturer
- Independent study of courseware and specific topics
Typical evaluations would include:
- Final Exam
- Midterm Exam
- Quizzes
- Reflective Learning Journals
- Pathophysiology and Classification Synopses
- Coding Tool
Course evaluation is based on course objectives and is consistent with Douglas College Curriculum Development and Approval policy.
A detailed evaluation schedule is presented to the students at the beginning of the course.
Outline of evaluation may be subject to change.
This is a graded course.
In this course participants have opportunities to:
- develop skills in data classification by applying knowledge of the pathophysiology for specified major clinical categories using the ICD-10-CA and CCI classification systems
- understand and predict the course of specified pathological conditions in terms of demographics, etiology, signs and symptoms, method of diagnosis, common comorbidities, typical and alternative interventions (diagnostic, medical including pharmaceutical agents and surgical), and likely mode of encounter with the health care delivery system
- apply critical thinking skills including interpretation of documentation to the coding process
- develop knowledge and use of appropriate resources (electronic and text) to enhance the coding process including the development of a personalized coding tool
- apply national, provincial and local standards for data collection
- apply patient service classification
- apply research skills to independent study of disease pathophysiology and classification
- continue using both a manual and computerized abstracting system to collect data
- continue to develop an appreciation for the importance of data integrity, accuracy, and consistency
Textbooks and Materials to be Purchased by Students
A list of mandatory and optional textbooks and materials is provided for students at the beginning of the course.
Requisites
Course Guidelines
Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.
Course Transfers
These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca
Institution | Transfer details for HIMP 1270 | |
---|---|---|
There are no applicable transfer credits for this course. |